B2C companies use machine learning for a wide range of use cases ranging from personalized recommendations, intelligent chatbots and hyperlocal advertising, just to name a few. While the number of B2C companies using machine learning is skyrocketing, adoption by B2B companies has yet to take off.

It’s time for B2B companies to get their game on. Here are some of the ways machine learning can make a significant difference for B2B companies.

Despite predictions of its demise, email is not dead. In fact, it continues to be the top channel marketers use to drive demand, according to Demand Gen Report’s 2019 Demand Generation Benchmark Survey. More than half (54%) of respondents ranked email on top, with the company website (48%) and in-person events (47%) trailing closely behind.

DialogTech, a marketing analytics provider for inbound calling, has acquired Swydo, a provider of digital marketing dashboards, reports and visualizations. Through the acquisition, DialogTech customers are positioned to view their call analytics data alongside their martech and adtech performance data within the DialogTech platform.

Radius, a B2B data and predictive intelligence software, announced it has partnered with LiveRamp, an Acxiom company and provider of omnichannel buyer data integration solutions. The company also announced the launch of Radius Advertiser, a solution developed by both Radius and LiveRamp to expand users’ reach beyond traditional B2B channels.

Visual IQ, a marketing intelligence software, has announced a partnership with LiveRamp, omnichannel buyer data integration solution, which the company said will enable Visual IQ customers to gain a more people-based view of the customer journey across digital and offline marketing channels.

Act-On Software, an integrated marketing automation platform, announced it has partnered with real-time personalization platform Evergage to extend Evergage’s personalization functionalities to Act-On’s Adaptive Journeys capabilities.